Description: Artificial Intelligence Recovery.
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"Recovered AI" is not a widely recognized term in the field of artificial intelligence. It might refer to a few possible concepts, but without specific context, it's challenging to provide a precise definition. Here are a few interpretations based on similar concepts and potential uses of the term: 1. Historical AI Artifacts : The recovery and analysis of historical AI systems or technologies, possibly as part of research into the history and evolution of artificial intelligence. Here is an alphabetical lis
2. Recovered AI from Adversarial Attacks : AI systems that have been restored to their original state or functionality after being compromised by adversarial attacks or manipulations. Adversarial attacks on AI systems are a significant area of research, and while there are many case studies and methods for recovering AI from such attacks, specific named examples are less common. However, here are some notable cases and general approaches that have been documented in research and practice: * Adversarial Trai
3. Recovered Knowledge or Models : AI models or knowledge bases that have been salvaged or reconstructed from incomplete, damaged, or lost data sources. Recovering AI models or knowledge bases from incomplete, damaged, or lost data sources is a critical aspect of AI research and development. Here are some notable examples of such efforts, listed alphabetically: * BERT (Bidirectional Encoder Representations from Transformers ): In some cases, BERT models have been fine-tuned or retrained using fragments of d